Machine learning, the technical building blocks for SMEs

July 25, 2025

New course alert!

How can your SME benefit from machine learning?

To find out, be sure to register for our new course Machine learning, the technical building blocks for SMEs.

An executive education module, this masterclass will show how your SME can leverage such artificial intelligence tools as machine learning to:  

  • Personalise the customer experience
  • Optimise and automate business processes
  • Enhance security and strengthen fraud detection

Using practical use cases, the course will also cover such AI fundamentals as the technological building blocks of machine learning and the value of the scikit-learn library.

While this free-of-charge course is open to any French or European SME or Very Small Enterprise, it is specifically designed for SME and IT managers and digital project leaders.

Led by Laure Bourgois, PhD, an engineer-trainer specialising in artificial intelligence, the course will take place 25 September from 10:30 – 12:30 CET.

More information and registration can be found here.  

Meet our partners!

Budapest University of Technology and Economics (BME) is Hungary’s top university and a recognised leader in blockchain education.

It’s also the blockchain training leader for the SME4DD project.

In this role, BME provides open-access digital training specifically designed to help SMEs leverage this emerging technology. Courses include:

You can learn more about this project partner here.
 

SME4DD by numbers

Through our partners, SME4DD offers over 10 unique courses covering such core digital skills as Artificial Intelligence, Blockchain and Cybersecurity. You can explore them all here.

Upcoming events

9 October: Scikit-learn: The Machine Learning Toolbox for SMEs

Taught by Laure Bourgois, PhD, an expert on AI at the Inria Academy, this new course is a unique opportunity to enhance your team's skills in machine learning tools. The course will focus on Scikit-learn, an innovative open-source machine learning library designed specifically for the Python programming language. More information can be found here.

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Initiated by the EIT